{"id":2308535,"url":"https://alion.io/job/mol-group-medior-data-engineer","title":"Medior Data Engineer","company":{"id":1830421,"name":"MOL Group","domain":"mol.hu","url":"https://alion.io/company/mol-hu","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"B","score":75,"open_postings":19,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-13T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Budapest, Hungary"],"countries":["HU"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":19500,"max_usd":54000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":782},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Confluence","optional":false},{"name":"Databricks","optional":false},{"name":"Datadog","optional":false},{"name":"Delta Lake","optional":false},{"name":"Java","optional":false},{"name":"Microsoft Office","optional":false},{"name":"Python","optional":false},{"name":"SLI/SLO/SLA","optional":false},{"name":"Spark","optional":false},{"name":"Agile","optional":true}],"status":"live","first_seen_at":"2026-06-29T00:00:00Z","employer_posted_date":"2026-06-29","last_verified_at":"2026-10-13T21:39:30Z","board_verified":true,"closed_at":null,"days_open":106,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":106},"description":"Medior Data Engineer\nJob post\nAbout Digital Factory\nIt’s a place where the agility of a start-up meets the stability of a global powerhouse!\nBe part of our journey as we transform MOL Group’s Consumer Services from a traditional fuel retailer to a cutting-edge, digitally driven consumer goods and mobility services provider. As part of MOL Group’s 2030 - Enter Tomorrow strategy, our mission is to lead the market in Central Europe through innovative digital transformation.\nAt Digital Factory, we harness the power of data to drive business decisions by building a comprehensive Data Lake and developing advanced analytics solutions in forecasting, category management, pricing, and workforce optimization. We're also revolutionizing customer experience with MOL MOVE, our new digital, app-first loyalty rewards program on the Salesforce platform, designed to personalize and enhance convenience for our customers.\nMOL Group Consumer Services are currently serving approx. 10 million customers through 2,000 service stations across 9 countries, which provides an excellent scale to leverage our technologies regionally.\nOur engineers product-minded professionals with a passion for business, user behavior, and data. They excel in communication, build strong relationships with non-engineers, and navigate product/engineering tradeoffs with ease. With a focus on quick product validation and end-to-end feature ownership, they drive continuous learning and impactful solutions.\nIf you're curious, proactive, and eager to make a difference, the Digital Factory's Engineering Team is the place for you!\nAbout the Role\nWe are looking to hire an experienced and passionate Data Software Engineer to join Digital Factory. This role focuses on building and operating scalable data pipelines and ensuring reliable, cost-efficient data processing on our Databricks-based data platform.\nYou will work closely with data scientists, analysts, and business stakeholders to ensure high-quality and accessible data while contributing to both functional and technical decision-making.\nMain Responsibilities\nManaging day-to-day operations of Databricks data pipelines, including monitoring, troubleshooting, and performance tuning\n\nMaintaining Delta Lake data layers (bronze / silver / gold), ensuring data availability, consistency, and smooth pipeline execution\n\nMonitoring and supporting data pipeline operations (failures, delays, data quality issues)\n\nPerforming incident handling and root cause analysis for data platform issues\n\nOptimizing Spark jobs, cluster performance, and platform cost usage\n\nImplementing data observability (logging, monitoring, alerting)\n\nSupporting CI/CD and deployment of data pipelines\n\nCollaborating to ensure end-to-end data reliability and SLA adherence\n\nAbout Your Experience and Skills\nEducation\nUniversity or college degree with specialization in Computer Science or Information Systems or equivalent practical experience\n\nExperience\n3+ years of experience in Data Engineeringor similar role\n\nExperience with distributed data processing (Apache Spark)\n\nExperience working with cloud-based data platforms (preferably Databricks)\n\nExposure to running and supporting production data pipelines\n\nExperience troubleshooting data issues in live environments\n\nAbility to work in a geo-distributed team with limited supervision\n\nProfessional and Technical Competencies\nHand-on Experience with Azure Databricks and/or Apache Spark\n\nUnderstanding of Lakehouse architecture and Delta Lake\n\nKnowledge of orchestration tools (ADF, Airflow, Databricks Workflows) and CI/CD tools\n\nUnderstanding of monitoring and logging in data platforms (Datadog, Azure Monitor)\n\nStrong programming skills (Python preferred, Java optional)\n\nProfessional usage of Microsoft Office Suite.\n\nExperience with Atlassian JIRA, Confluence.\n\nBasic understanding of data security and scalability principles\n\nExperience collaborating with cross-functional teams\n\nSoft Skills\nStrong problem-solving and analytical skills.\n\nSelf-driven, detail-oriented, capable of multi-tasking, highly organized, with excellent time management skills.\n\nDemonstrated ability to meet deadlines, handle and prioritize simultaneous requests, and manage laterally and upwards\n\nStrong written and verbal communication skills in English for cross-functional collaboration.\n\nAbility to critically evaluate information gathered from multiple sources, reconcile conflicts, decompose high-level information into details, and distinguish user requests from the underlying true needs.\n\nStrong attention to detail and commitment to delivering high-quality work.\n\nProactive mindset with a positive attitude and a strong sense of ownership, and team mentality.\n\nGrowth mindset with a passion for continuous learning, adapting, and staying updated on industry trends and best practices.\n\nOpenness to work with different cultures across CEE.\n\nWhat We Offer\nWork with an advanced andinnovative tech stack.\n\nCollaborate with multinational teams and projects across the CEE region.\n\nEnjoy tremendous opportunities for continuous learning and growth in a fast-paced, agile environment.\n\nExplore versatile career paths in a dynamically growing international organization at Local and Group level.\n\nGain cross-industry experience through our expanding portfolio of businesses (both within and beyond MOL Group).\n\nBe part of a supportive and inclusive workplace that values innovation and creativity.\n\nEnjoy a hybrid work model: two days of home office and three days at the beautiful MOL Campus.\n\nAccess Medicover health insurance and an extensive benefit package, including an annual bonus and maximalized fringe benefits.\n\nParticipate in regular team outings and MOL family events.\n\nHow to apply?\nIf you wish to form the future with us, please submit your applications via our career site: www.mol.hu/karrier\nMain Recruitment Steps\nInitial call: You will be contacted by MOL Recruitment via phone for a short chat.\n\nInterview: You can expect three interview rounds, where you can meet your direct manager, some experts from the team, ask your questions and present your skills and career path. We always make sure you receive timely feedback after each round.\n\nTechnical Assessment: You will either receive a take-home assignment after the first interview or be asked to solve an exercise on the spot at one of the interviews.\n\nIf you would like to know more about Digital Factory: digitalfactory.info\nMeet your Hiring Manager: Gábor Zimmermann (Gabor Zimmermann | LinkedIn)\nAt MOL Group, we know that our strength lies in diversity. During the selection process, we provide equal opportunities to all applicants with the appropriate qualifications and work experience, regardless of age, gender, disability, or reduced work capacity, sexual orientation, or ethnicity. At MOL Group, everyone matters.\nIf you have any specific needs related to your reduced work capacity at any stage of the recruitment process, please inform our recruitment team! 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